Monte Carlo methods have become a cornerstone in nuclear systems analysis, particularly for sensitivity studies, which determine how variations in nuclear data can affect key reactor parameters. These ...
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Detecting 'hidden defects' that degrade semiconductor performance with 1,000X higher sensitivity
Semiconductors are used in devices such as memory chips and solar cells, and within them may exist invisible defects that interfere with electrical flow. A joint research team has developed a new ...
The primary goal of this research was to minimise the energy consumed by heating and cooling loads in residential buildings in a sub-humid Mediterranean climate zone. This was achieved by optimising ...
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